Affiliation:
1. Gomel State Medical University; Pirogov Russian National Research Medical University
2. Gomel Regional Clinical Hospital
Abstract
This paper is a systematic review of literature covering the use of decision support systems in the diagnosis and treatment of acute pancreatitis. The authors provide modern literature data on the efficacy of different support systems for decision-making based on artificial neural networks to determine the severity of acute pancreatitis outcomes, prognosis and diagnosis of infected pancreatic necrosis.
Publisher
Gomel State Medical University
Reference33 articles.
1. Savel'ev, V. S. Pankreonekrozy / V. S. Savel'ev, M. I. Fili-monov, S. Z. Burnevich. - M.: MIA, 2008. - 264 s.
2. Diagnostika i lechenie ostrogo pankreatita / A. S. Ermolov [i dr.]. - M.: Vidar-M, 2013. - 382 s.
3. American College of Gastroenterology guideline: management of acute pancreatitis / S. Tenner [et al.] // Am. J. Gastroenterol. - 2013. - Vol. 108, № 9. - P. 1400-1415.
4. Rosenberg, A. Necrotizing pancreatitis: new definitions and a new era in surgical management / A. Rosenberg, E. A. Steensma, L. M. Napolitano // Surg. Infect. - 2015. - Vol. 16, № 1. - P. 1-13.
5. Criteria for the diagnosis and severity stratification of acute pancreatitis / M. Otsuki [et al.] // World J. Gastroenterol. - 2013. - Vol. 19, № 35. - P. 5798-5805.
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